Overview

Dataset statistics

Number of variables313
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory417.6 KiB
Average record size in memory427.6 B

Variable types

Numeric11
Categorical302

Warnings

Var1 is highly correlated with timeHigh correlation
time is highly correlated with Var1High correlation
Var1 is highly correlated with timeHigh correlation
time is highly correlated with Var1High correlation
time is highly correlated with Var1High correlation
Var1 is highly correlated with timeHigh correlation
time has unique values Unique
Var1 has 57 (5.7%) zeros Zeros
Var2 has 48 (4.8%) zeros Zeros
Var3 has 55 (5.5%) zeros Zeros
Var4 has 36 (3.6%) zeros Zeros
Var5 has 28 (2.8%) zeros Zeros
Var6 has 53 (5.3%) zeros Zeros
Var7 has 128 (12.8%) zeros Zeros
Var8 has 127 (12.7%) zeros Zeros
Var9 has 135 (13.5%) zeros Zeros
Var10 has 114 (11.4%) zeros Zeros

Reproduction

Analysis started2021-09-06 10:04:16.982631
Analysis finished2021-09-06 10:12:53.912162
Duration8 minutes and 36.93 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

Var1
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.96
Minimum0
Maximum10
Zeros57
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:54.027139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.873475356
Coefficient of variation (CV)0.6329308635
Kurtosis0.504855147
Mean2.96
Median Absolute Deviation (MAD)1
Skewness0.7746827109
Sum2960
Variance3.50990991
MonotonicityNot monotonic
2021-09-06T19:12:54.169950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2235
23.5%
3204
20.4%
1171
17.1%
4139
13.9%
595
9.5%
057
 
5.7%
650
 
5.0%
727
 
2.7%
813
 
1.3%
97
 
0.7%
ValueCountFrequency (%)
057
 
5.7%
1171
17.1%
2235
23.5%
3204
20.4%
4139
13.9%
595
9.5%
650
 
5.0%
727
 
2.7%
813
 
1.3%
97
 
0.7%
ValueCountFrequency (%)
102
 
0.2%
97
 
0.7%
813
 
1.3%
727
 
2.7%
650
 
5.0%
595
9.5%
4139
13.9%
3204
20.4%
2235
23.5%
1171
17.1%

Var2
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3
Minimum0
Maximum11
Zeros48
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:54.303850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.953923698
Coefficient of variation (CV)0.5920980903
Kurtosis0.7368861643
Mean3.3
Median Absolute Deviation (MAD)1
Skewness0.7675303671
Sum3300
Variance3.817817818
MonotonicityNot monotonic
2021-09-06T19:12:54.435308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3221
22.1%
2218
21.8%
4163
16.3%
1113
11.3%
5109
10.9%
665
 
6.5%
048
 
4.8%
730
 
3.0%
914
 
1.4%
813
 
1.3%
Other values (2)6
 
0.6%
ValueCountFrequency (%)
048
 
4.8%
1113
11.3%
2218
21.8%
3221
22.1%
4163
16.3%
5109
10.9%
665
 
6.5%
730
 
3.0%
813
 
1.3%
914
 
1.4%
ValueCountFrequency (%)
111
 
0.1%
105
 
0.5%
914
 
1.4%
813
 
1.3%
730
 
3.0%
665
 
6.5%
5109
10.9%
4163
16.3%
3221
22.1%
2218
21.8%

Var3
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.001
Minimum0
Maximum11
Zeros55
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:54.568831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile7
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.914331127
Coefficient of variation (CV)0.6378977431
Kurtosis0.8503224464
Mean3.001
Median Absolute Deviation (MAD)1
Skewness0.8821433168
Sum3001
Variance3.664663664
MonotonicityNot monotonic
2021-09-06T19:12:54.697827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2260
26.0%
3196
19.6%
1156
15.6%
4130
13.0%
597
 
9.7%
055
 
5.5%
655
 
5.5%
723
 
2.3%
816
 
1.6%
99
 
0.9%
Other values (2)3
 
0.3%
ValueCountFrequency (%)
055
 
5.5%
1156
15.6%
2260
26.0%
3196
19.6%
4130
13.0%
597
 
9.7%
655
 
5.5%
723
 
2.3%
816
 
1.6%
99
 
0.9%
ValueCountFrequency (%)
112
 
0.2%
101
 
0.1%
99
 
0.9%
816
 
1.6%
723
 
2.3%
655
 
5.5%
597
 
9.7%
4130
13.0%
3196
19.6%
2260
26.0%

Var4
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.212
Minimum0
Maximum12
Zeros36
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:54.794302image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q34
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.962372775
Coefficient of variation (CV)0.610950428
Kurtosis0.5852304622
Mean3.212
Median Absolute Deviation (MAD)1
Skewness0.8226083093
Sum3212
Variance3.850906907
MonotonicityNot monotonic
2021-09-06T19:12:54.900471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2242
24.2%
3195
19.5%
1150
15.0%
4140
14.0%
5106
10.6%
667
 
6.7%
036
 
3.6%
732
 
3.2%
816
 
1.6%
913
 
1.3%
Other values (2)3
 
0.3%
ValueCountFrequency (%)
036
 
3.6%
1150
15.0%
2242
24.2%
3195
19.5%
4140
14.0%
5106
10.6%
667
 
6.7%
732
 
3.2%
816
 
1.6%
913
 
1.3%
ValueCountFrequency (%)
121
 
0.1%
102
 
0.2%
913
 
1.3%
816
 
1.6%
732
 
3.2%
667
 
6.7%
5106
10.6%
4140
14.0%
3195
19.5%
2242
24.2%

Var5
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.489
Minimum0
Maximum11
Zeros28
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:55.038719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile7
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.913515231
Coefficient of variation (CV)0.5484423134
Kurtosis0.6282193148
Mean3.489
Median Absolute Deviation (MAD)1
Skewness0.7933625419
Sum3489
Variance3.661540541
MonotonicityNot monotonic
2021-09-06T19:12:55.773247image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2247
24.7%
3223
22.3%
4161
16.1%
5124
12.4%
176
 
7.6%
663
 
6.3%
741
 
4.1%
028
 
2.8%
818
 
1.8%
914
 
1.4%
Other values (2)5
 
0.5%
ValueCountFrequency (%)
028
 
2.8%
176
 
7.6%
2247
24.7%
3223
22.3%
4161
16.1%
5124
12.4%
663
 
6.3%
741
 
4.1%
818
 
1.8%
914
 
1.4%
ValueCountFrequency (%)
111
 
0.1%
104
 
0.4%
914
 
1.4%
818
 
1.8%
741
 
4.1%
663
 
6.3%
5124
12.4%
4161
16.1%
3223
22.3%
2247
24.7%

Var6
Real number (ℝ≥0)

ZEROS

Distinct13
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.236
Minimum0
Maximum12
Zeros53
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:55.892536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile7
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.037266417
Coefficient of variation (CV)0.6295631697
Kurtosis0.6542149049
Mean3.236
Median Absolute Deviation (MAD)1
Skewness0.8376131062
Sum3236
Variance4.150454454
MonotonicityNot monotonic
2021-09-06T19:12:56.070159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2240
24.0%
3212
21.2%
4128
12.8%
1127
12.7%
599
9.9%
664
 
6.4%
053
 
5.3%
740
 
4.0%
820
 
2.0%
911
 
1.1%
Other values (3)6
 
0.6%
ValueCountFrequency (%)
053
 
5.3%
1127
12.7%
2240
24.0%
3212
21.2%
4128
12.8%
599
9.9%
664
 
6.4%
740
 
4.0%
820
 
2.0%
911
 
1.1%
ValueCountFrequency (%)
121
 
0.1%
111
 
0.1%
104
 
0.4%
911
 
1.1%
820
 
2.0%
740
 
4.0%
664
 
6.4%
599
9.9%
4128
12.8%
3212
21.2%

Var7
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.36
Minimum0
Maximum10
Zeros128
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:56.241753image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.819260759
Coefficient of variation (CV)0.770873203
Kurtosis0.2888305014
Mean2.36
Median Absolute Deviation (MAD)1
Skewness0.8346305686
Sum2360
Variance3.30970971
MonotonicityNot monotonic
2021-09-06T19:12:56.387204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1269
26.9%
2208
20.8%
3144
14.4%
0128
12.8%
4118
11.8%
562
 
6.2%
647
 
4.7%
716
 
1.6%
86
 
0.6%
101
 
0.1%
ValueCountFrequency (%)
0128
12.8%
1269
26.9%
2208
20.8%
3144
14.4%
4118
11.8%
562
 
6.2%
647
 
4.7%
716
 
1.6%
86
 
0.6%
91
 
0.1%
ValueCountFrequency (%)
101
 
0.1%
91
 
0.1%
86
 
0.6%
716
 
1.6%
647
 
4.7%
562
 
6.2%
4118
11.8%
3144
14.4%
2208
20.8%
1269
26.9%

Var8
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.394
Minimum0
Maximum10
Zeros127
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:56.531688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.828690271
Coefficient of variation (CV)0.7638639395
Kurtosis0.7708312616
Mean2.394
Median Absolute Deviation (MAD)1
Skewness0.9342381602
Sum2394
Variance3.344108108
MonotonicityNot monotonic
2021-09-06T19:12:56.676893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1241
24.1%
2227
22.7%
3171
17.1%
0127
12.7%
4101
10.1%
569
 
6.9%
630
 
3.0%
720
 
2.0%
810
 
1.0%
93
 
0.3%
ValueCountFrequency (%)
0127
12.7%
1241
24.1%
2227
22.7%
3171
17.1%
4101
10.1%
569
 
6.9%
630
 
3.0%
720
 
2.0%
810
 
1.0%
93
 
0.3%
ValueCountFrequency (%)
101
 
0.1%
93
 
0.3%
810
 
1.0%
720
 
2.0%
630
 
3.0%
569
 
6.9%
4101
10.1%
3171
17.1%
2227
22.7%
1241
24.1%

Var9
Real number (ℝ≥0)

ZEROS

Distinct11
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.341
Minimum0
Maximum10
Zeros135
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:56.822074image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.828677955
Coefficient of variation (CV)0.7811524797
Kurtosis1.273793982
Mean2.341
Median Absolute Deviation (MAD)1
Skewness1.049683051
Sum2341
Variance3.344063063
MonotonicityNot monotonic
2021-09-06T19:12:56.951682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2250
25.0%
1235
23.5%
3157
15.7%
0135
13.5%
4100
 
10.0%
557
 
5.7%
633
 
3.3%
722
 
2.2%
85
 
0.5%
104
 
0.4%
ValueCountFrequency (%)
0135
13.5%
1235
23.5%
2250
25.0%
3157
15.7%
4100
 
10.0%
557
 
5.7%
633
 
3.3%
722
 
2.2%
85
 
0.5%
92
 
0.2%
ValueCountFrequency (%)
104
 
0.4%
92
 
0.2%
85
 
0.5%
722
 
2.2%
633
 
3.3%
557
 
5.7%
4100
 
10.0%
3157
15.7%
2250
25.0%
1235
23.5%

Var10
Real number (ℝ≥0)

ZEROS

Distinct12
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.362
Minimum0
Maximum12
Zeros114
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size7.9 KiB
2021-09-06T19:12:57.110051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.828195367
Coefficient of variation (CV)0.7740031188
Kurtosis1.190927536
Mean2.362
Median Absolute Deviation (MAD)1
Skewness1.026329455
Sum2362
Variance3.342298298
MonotonicityNot monotonic
2021-09-06T19:12:57.234134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1287
28.7%
2205
20.5%
3156
15.6%
0114
 
11.4%
4108
 
10.8%
562
 
6.2%
640
 
4.0%
718
 
1.8%
85
 
0.5%
93
 
0.3%
Other values (2)2
 
0.2%
ValueCountFrequency (%)
0114
 
11.4%
1287
28.7%
2205
20.5%
3156
15.6%
4108
 
10.8%
562
 
6.2%
640
 
4.0%
718
 
1.8%
85
 
0.5%
93
 
0.3%
ValueCountFrequency (%)
121
 
0.1%
101
 
0.1%
93
 
0.3%
85
 
0.5%
718
 
1.8%
640
 
4.0%
562
 
6.2%
4108
10.8%
3156
15.6%
2205
20.5%

time
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.86023362
Minimum-7.945620918
Maximum217.0789084
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.1%
Memory size7.9 KiB
2021-09-06T19:12:57.373765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-7.945620918
5-th percentile26.08584925
Q137.40130706
median47.06471242
Q360.96647633
95-th percentile94.32384031
Maximum217.0789084
Range225.0245293
Interquartile range (IQR)23.56516927

Descriptive statistics

Standard deviation22.15995259
Coefficient of variation (CV)0.4273014417
Kurtosis6.803584797
Mean51.86023362
Median Absolute Deviation (MAD)11.16002837
Skewness1.821898796
Sum51860.23362
Variance491.0634989
MonotonicityNot monotonic
2021-09-06T19:12:57.561073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.448330661
 
0.1%
35.245932091
 
0.1%
39.816160191
 
0.1%
21.135143791
 
0.1%
73.287211
 
0.1%
36.504368741
 
0.1%
33.692082361
 
0.1%
79.398555361
 
0.1%
28.797043911
 
0.1%
57.194009751
 
0.1%
Other values (990)990
99.0%
ValueCountFrequency (%)
-7.9456209181
0.1%
7.0707078991
0.1%
8.9153583081
0.1%
9.8432614561
0.1%
11.274017711
0.1%
11.442580851
0.1%
13.283066611
0.1%
17.640615351
0.1%
19.28903581
0.1%
19.308585691
0.1%
ValueCountFrequency (%)
217.07890841
0.1%
186.48708861
0.1%
171.99462321
0.1%
171.98204221
0.1%
138.8613381
0.1%
137.88859061
0.1%
136.96710711
0.1%
136.3746061
0.1%
135.73639941
0.1%
135.05849081
0.1%

event
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
891 
0
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
1891
89.1%
0109
 
10.9%

Length

2021-09-06T19:12:57.818845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:12:57.872171image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1891
89.1%
0109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
1891
89.1%
0109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1891
89.1%
0109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1891
89.1%
0109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1891
89.1%
0109
 
10.9%

Treatment
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
512 
1
488 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0512
51.2%
1488
48.8%

Length

2021-09-06T19:12:59.729357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:12:59.820913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0512
51.2%
1488
48.8%

Most occurring characters

ValueCountFrequency (%)
0512
51.2%
1488
48.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0512
51.2%
1488
48.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0512
51.2%
1488
48.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0512
51.2%
1488
48.8%

G1
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
919 
1
 
81

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0919
91.9%
181
 
8.1%

Length

2021-09-06T19:12:59.985621image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:00.118115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0919
91.9%
181
 
8.1%

Most occurring characters

ValueCountFrequency (%)
0919
91.9%
181
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0919
91.9%
181
 
8.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0919
91.9%
181
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0919
91.9%
181
 
8.1%

G2
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
878 
1
122 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0878
87.8%
1122
 
12.2%

Length

2021-09-06T19:13:00.401852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:00.500433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0878
87.8%
1122
 
12.2%

Most occurring characters

ValueCountFrequency (%)
0878
87.8%
1122
 
12.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0878
87.8%
1122
 
12.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0878
87.8%
1122
 
12.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0878
87.8%
1122
 
12.2%

G3
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:13:00.769022image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:00.865836image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G4
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:01.113202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:01.219562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G5
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:13:01.480422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:01.571887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G6
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:01.822181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:01.912893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G7
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:13:02.182981image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:02.288102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G8
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:13:02.505086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:02.571308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G9
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
924 
1
 
76

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Length

2021-09-06T19:13:02.730986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:02.797039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Most occurring characters

ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

G10
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:13:02.978674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:03.104315image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G11
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:03.387025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:03.484731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G12
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:13:03.753907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:03.841875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G13
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:04.070481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:04.191633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G14
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
908 
1
92 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Length

2021-09-06T19:13:04.409651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:04.485214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring characters

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

G15
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:13:04.680551image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:04.751820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G16
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:13:04.948012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:05.029728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G17
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:13:05.263276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:05.329974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G18
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
882 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Length

2021-09-06T19:13:06.170743image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:06.281418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

G19
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:06.561208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:06.658384image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G20
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:13:06.909605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:06.981448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G21
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:13:07.227968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:07.313086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G22
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:13:07.509678image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:07.581071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G23
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
912 
1
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Length

2021-09-06T19:13:07.751509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:07.822351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

G24
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
887 
1
113 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Length

2021-09-06T19:13:08.018031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:08.092339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Most occurring characters

ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

G25
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:13:08.344112image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:08.415064image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G26
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
912 
1
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Length

2021-09-06T19:13:08.586089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:08.657201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

G27
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:13:08.852705image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:08.924004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G28
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
923 
1
 
77

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0923
92.3%
177
 
7.7%

Length

2021-09-06T19:13:09.094990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:09.222670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0923
92.3%
177
 
7.7%

Most occurring characters

ValueCountFrequency (%)
0923
92.3%
177
 
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0923
92.3%
177
 
7.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0923
92.3%
177
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0923
92.3%
177
 
7.7%

G29
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:09.470948image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:09.559950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G30
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:13:09.799781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:09.865457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G31
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:13:10.047010image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:10.123107image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G32
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
873 
1
127 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0873
87.3%
1127
 
12.7%

Length

2021-09-06T19:13:10.428411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:10.524835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0873
87.3%
1127
 
12.7%

Most occurring characters

ValueCountFrequency (%)
0873
87.3%
1127
 
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0873
87.3%
1127
 
12.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0873
87.3%
1127
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0873
87.3%
1127
 
12.7%

G33
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:13:10.789863image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:10.866404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G34
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:11.062696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:11.150725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G35
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
879 
1
121 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Length

2021-09-06T19:13:11.396564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:11.485654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Most occurring characters

ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

G36
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:13:11.717188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:11.782853image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G37
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:13:11.963277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:12.029767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G38
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:13:12.276586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:12.384173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G39
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
908 
1
92 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Length

2021-09-06T19:13:12.666895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:12.762727image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring characters

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

G40
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:13.021931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:13.093449image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G41
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
885 
1
115 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Length

2021-09-06T19:13:13.346385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:13.420413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring characters

ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

G42
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:13:13.618156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:13.689405image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G43
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:13.886927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:13.958823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G44
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:13:14.189639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:14.279860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G45
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:13:14.461392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:14.527565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G46
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:13:14.709941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:14.775971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G47
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:14.959827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:15.053093image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G48
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
911 
1
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Length

2021-09-06T19:13:15.301125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:15.391509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring characters

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

G49
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:15.655440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:16.448077image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G50
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
911 
1
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Length

2021-09-06T19:13:16.681606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:16.753339image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring characters

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

G51
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:16.948968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:17.020606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G52
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:17.216803image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:17.288099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G53
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
910 
1
 
90

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Length

2021-09-06T19:13:17.492324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:17.600072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

G54
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
909 
1
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Length

2021-09-06T19:13:17.835547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:17.906841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring characters

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

G55
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:13:18.103137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:18.176326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G56
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
910 
1
 
90

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Length

2021-09-06T19:13:18.349012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:18.425381image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

G57
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:18.696452image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:18.786326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G58
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:13:19.032692image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:19.122546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G59
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
914 
1
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Length

2021-09-06T19:13:19.337553image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:19.408687image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring characters

ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

G60
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
915 
1
 
85

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Length

2021-09-06T19:13:19.677102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:19.777788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Most occurring characters

ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

G61
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
886 
1
114 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Length

2021-09-06T19:13:20.045031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:20.141818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring characters

ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

G62
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:20.367433image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:20.450217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G63
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:13:20.717744image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:20.830540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G64
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
909 
1
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Length

2021-09-06T19:13:21.106124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:21.202096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring characters

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

G65
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:13:21.482651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:21.597358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G66
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:13:21.823269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:21.895220image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G67
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:13:22.091324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:22.162902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G68
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
916 
1
 
84

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0916
91.6%
184
 
8.4%

Length

2021-09-06T19:13:22.334188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:22.405383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0916
91.6%
184
 
8.4%

Most occurring characters

ValueCountFrequency (%)
0916
91.6%
184
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0916
91.6%
184
 
8.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0916
91.6%
184
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0916
91.6%
184
 
8.4%

G69
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
886 
1
114 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Length

2021-09-06T19:13:22.602916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:22.674174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring characters

ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

G70
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:22.869768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:22.941448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G71
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:23.138160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:23.215869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G72
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
888 
1
112 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Length

2021-09-06T19:13:23.421036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:23.536690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring characters

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

G73
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:13:23.745125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:23.816006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G74
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
911 
1
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Length

2021-09-06T19:13:23.987352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:24.058726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring characters

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

G75
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:24.257782image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:24.329313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G76
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:13:24.577101image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:24.661105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G77
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
906 
1
94 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Length

2021-09-06T19:13:24.858149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:24.930059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring characters

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

G78
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:13:25.244731image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:25.332048image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G79
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
882 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Length

2021-09-06T19:13:25.585188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:25.688260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

G80
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:13:25.959324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:26.057776image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G81
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:13:26.266632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:26.338095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G82
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
913 
1
 
87

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Length

2021-09-06T19:13:26.549050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:26.638777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring characters

ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

G83
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:13:26.885607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:26.969911image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G84
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
887 
1
113 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Length

2021-09-06T19:13:27.155317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:27.225645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Most occurring characters

ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0887
88.7%
1113
 
11.3%

G85
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
908 
1
92 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Length

2021-09-06T19:13:27.408309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:27.515160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring characters

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

G86
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:13:27.794788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:27.890634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G87
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:28.149423image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:28.220919image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G88
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
922 
1
 
78

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0922
92.2%
178
 
7.8%

Length

2021-09-06T19:13:29.255871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:29.365561image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0922
92.2%
178
 
7.8%

Most occurring characters

ValueCountFrequency (%)
0922
92.2%
178
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0922
92.2%
178
 
7.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0922
92.2%
178
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0922
92.2%
178
 
7.8%

G89
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
889 
1
111 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Length

2021-09-06T19:13:29.592589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:29.663949image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

G90
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
910 
1
 
90

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Length

2021-09-06T19:13:29.834360image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:29.905843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

G91
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:13:30.100677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:30.176099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G92
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:30.435393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:30.506826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G93
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:13:30.702203image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:30.773672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G94
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:30.968566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:31.039780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G95
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:13:31.236225image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:31.307488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G96
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:13:31.519508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:31.613857image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G97
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
913 
1
 
87

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Length

2021-09-06T19:13:31.816254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:31.882271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring characters

ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

G98
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:13:32.062798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:32.129541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G99
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:32.386812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:32.478498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G100
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
889 
1
111 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Length

2021-09-06T19:13:32.743188image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:32.839761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

G101
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:13:33.077926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:33.149065image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G102
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:33.435738image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:33.523269image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G103
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:13:33.718363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:33.789516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G104
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:13:33.985195image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:34.056250image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G105
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:34.294078image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:34.401046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G106
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:13:34.630820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:34.702667image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G107
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:34.897852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:34.968665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G108
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
888 
1
112 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Length

2021-09-06T19:13:35.164458image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:35.260755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring characters

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

G109
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:35.467254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:35.538845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G110
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:13:35.733435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:35.805025image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G111
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:35.999828image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:36.071373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G112
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
909 
1
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Length

2021-09-06T19:13:36.268486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:36.339236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring characters

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

G113
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:36.534445image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:36.605403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G114
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:13:36.800810image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:36.872576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G115
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:37.067500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:37.138873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G116
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:37.392375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:37.495900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G117
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
882 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Length

2021-09-06T19:13:37.723862image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:37.795584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

G118
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
918 
1
 
82

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Length

2021-09-06T19:13:37.965974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:38.037696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Most occurring characters

ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

G119
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
920 
1
 
80

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Length

2021-09-06T19:13:38.209682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:38.328027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

G120
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:13:38.525421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:38.596562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G121
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
920 
1
 
80

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Length

2021-09-06T19:13:38.767682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:38.838947image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Most occurring characters

ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0920
92.0%
180
 
8.0%

G122
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:39.036607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:39.108472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G123
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:39.343542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:39.417353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G124
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:13:39.644057image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:39.710387image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G125
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
906 
1
94 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Length

2021-09-06T19:13:39.891953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:39.958015image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring characters

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

G126
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
909 
1
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Length

2021-09-06T19:13:40.141710image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:40.207860image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring characters

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

G127
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:13:40.480122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:40.587340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G128
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:13:40.865338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:40.961274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G129
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:13:41.233712image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:41.357551image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G130
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:13:41.637878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:41.733900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G131
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:41.991899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:42.065969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G132
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:13:42.273827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:42.347994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G133
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:13:42.542646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:42.616444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G134
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:13:42.811821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:42.883612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G135
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
889 
1
111 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Length

2021-09-06T19:13:43.107907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:43.175499image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

G136
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:44.467062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:44.565102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G137
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
913 
1
 
87

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Length

2021-09-06T19:13:44.800382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:44.893184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring characters

ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

G138
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
908 
1
92 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Length

2021-09-06T19:13:45.089592image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:45.161206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring characters

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

G139
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
911 
1
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Length

2021-09-06T19:13:45.397280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:45.487370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring characters

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

G140
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:45.682586image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:45.753936image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G141
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:45.948864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:46.020299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G142
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:13:46.227805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:46.329967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G143
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
906 
1
94 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Length

2021-09-06T19:13:46.526020image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:46.597559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring characters

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

G144
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:13:46.793081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:46.864856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G145
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
914 
1
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Length

2021-09-06T19:13:47.036443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:47.107358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring characters

ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

G146
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:13:47.374835image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:47.498408image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G147
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
884 
1
116 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0884
88.4%
1116
 
11.6%

Length

2021-09-06T19:13:47.699367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:47.769976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0884
88.4%
1116
 
11.6%

Most occurring characters

ValueCountFrequency (%)
0884
88.4%
1116
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0884
88.4%
1116
 
11.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0884
88.4%
1116
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0884
88.4%
1116
 
11.6%

G148
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:13:47.965288image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:48.036711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G149
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:13:48.251498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:48.356096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G150
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
908 
1
92 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Length

2021-09-06T19:13:48.603957image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:48.692935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring characters

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

G151
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:13:48.909778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:48.976483image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G152
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:13:49.158403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:49.231375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G153
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:13:49.536810image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:49.632418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G154
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
886 
1
114 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Length

2021-09-06T19:13:49.897309image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:49.977522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring characters

ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

G155
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:13:50.173631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:50.250049image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G156
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:50.445156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:50.515864image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G157
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:13:50.710566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:50.780873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G158
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:13:50.976567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:51.047938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G159
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
924 
1
 
76

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Length

2021-09-06T19:13:51.218925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:51.341752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Most occurring characters

ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0924
92.4%
176
 
7.6%

G160
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
912 
1
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Length

2021-09-06T19:13:51.544668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:51.615476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

G161
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
876 
1
124 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Length

2021-09-06T19:13:51.810814image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:51.881478image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Most occurring characters

ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

G162
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
883 
1
117 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0883
88.3%
1117
 
11.7%

Length

2021-09-06T19:13:52.077490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:52.149206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0883
88.3%
1117
 
11.7%

Most occurring characters

ValueCountFrequency (%)
0883
88.3%
1117
 
11.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0883
88.3%
1117
 
11.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0883
88.3%
1117
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0883
88.3%
1117
 
11.7%

G163
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:52.416627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:52.519116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G164
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:13:52.714634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:52.785906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G165
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:13:52.982329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:53.054011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G166
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:53.265819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:53.360430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G167
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:13:53.542307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:53.608087image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G168
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:13:53.789668image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:53.856055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G169
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:54.037407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:54.103716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G170
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:13:54.321700image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:54.446809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G171
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:13:54.714841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:54.811007image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G172
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:13:55.060110image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:55.131869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G173
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:13:55.378951image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:55.450539image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G174
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
918 
1
 
82

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Length

2021-09-06T19:13:55.622805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:55.694564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Most occurring characters

ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0918
91.8%
182
 
8.2%

G175
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:13:55.893144image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:55.968019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G176
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:13:56.163040image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:56.234504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G177
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
917 
1
 
83

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0917
91.7%
183
 
8.3%

Length

2021-09-06T19:13:56.407274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:56.478858image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0917
91.7%
183
 
8.3%

Most occurring characters

ValueCountFrequency (%)
0917
91.7%
183
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0917
91.7%
183
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0917
91.7%
183
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0917
91.7%
183
 
8.3%

G178
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:13:56.674353image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:56.745434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G179
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
879 
1
121 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Length

2021-09-06T19:13:56.940258image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:57.011703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Most occurring characters

ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0879
87.9%
1121
 
12.1%

G180
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:57.236174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:57.334019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G181
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:13:57.551459image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:57.618072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G182
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:13:57.800127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:57.866528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G183
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:13:58.047050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:58.112899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G184
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:13:58.330334image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:58.419990image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G185
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:13:58.616233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:58.687619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G186
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:13:58.883944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:58.955374image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G187
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
909 
1
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Length

2021-09-06T19:13:59.151396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:59.222988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring characters

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

G188
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
889 
1
111 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Length

2021-09-06T19:13:59.494773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:59.573229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

G189
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:13:59.768964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:13:59.840549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G190
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:14:00.035975image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:00.107209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G191
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:14:00.327513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:00.438039image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G192
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:14:00.665094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:00.736579image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G193
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
882 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Length

2021-09-06T19:14:00.931190image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:01.002646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

G194
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
910 
1
 
90

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Length

2021-09-06T19:14:01.173266image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:02.560665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

G195
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:14:02.828937image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:02.918559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G196
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
881 
1
119 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0881
88.1%
1119
 
11.9%

Length

2021-09-06T19:14:03.137438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:03.215613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0881
88.1%
1119
 
11.9%

Most occurring characters

ValueCountFrequency (%)
0881
88.1%
1119
 
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0881
88.1%
1119
 
11.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0881
88.1%
1119
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0881
88.1%
1119
 
11.9%

G197
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
914 
1
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Length

2021-09-06T19:14:03.462410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:03.554986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring characters

ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

G198
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:14:03.805695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:03.895262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G199
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
885 
1
115 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Length

2021-09-06T19:14:04.078618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:04.145335image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring characters

ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

G200
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
885 
1
115 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Length

2021-09-06T19:14:04.328191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:04.402102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring characters

ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0885
88.5%
1115
 
11.5%

G201
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
906 
1
94 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Length

2021-09-06T19:14:04.653470image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:04.761246image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring characters

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

G202
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
912 
1
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Length

2021-09-06T19:14:05.007212image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:05.102942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

G203
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:14:05.368438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:05.444752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G204
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
889 
1
111 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Length

2021-09-06T19:14:05.641066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:05.712732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

G205
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:14:05.908095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:05.979171image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G206
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
882 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Length

2021-09-06T19:14:06.174781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:06.246323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

G207
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:14:06.441892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:06.512978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G208
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:14:06.772752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:06.855485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G209
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
909 
1
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Length

2021-09-06T19:14:07.036832image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:07.102584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring characters

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

G210
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:14:07.284509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:07.350626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G211
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:14:07.532026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:07.623139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G212
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:14:07.887095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:07.983030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G213
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
889 
1
111 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Length

2021-09-06T19:14:08.198070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:08.269116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

G214
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
889 
1
111 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Length

2021-09-06T19:14:08.467335image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:08.539002image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

G215
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
889 
1
111 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Length

2021-09-06T19:14:08.766237image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:08.837429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring characters

ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0889
88.9%
1111
 
11.1%

G216
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:14:09.036771image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:09.108916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G217
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:14:09.306795image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:09.381617image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G218
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
880 
1
120 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Length

2021-09-06T19:14:09.589116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:09.697718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Most occurring characters

ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

G219
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:14:09.942845image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:10.031368image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G220
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:14:10.240053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:10.309482image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G221
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:14:10.492332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:10.558892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G222
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
906 
1
94 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Length

2021-09-06T19:14:10.810568image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:10.911675image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring characters

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

G223
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:14:11.174729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:11.271050image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G224
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:14:11.502282image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:11.573547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G225
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:14:11.781202image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:11.848809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G226
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
908 
1
92 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Length

2021-09-06T19:14:12.045439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:12.116941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring characters

ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0908
90.8%
192
 
9.2%

G227
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:14:12.313128image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:12.384232image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G228
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:14:12.580981image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:12.672089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G229
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:14:12.854221image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:12.920674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G230
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
913 
1
 
87

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Length

2021-09-06T19:14:13.079404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:13.145658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring characters

ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0913
91.3%
187
 
8.7%

G231
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:14:13.327878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:13.393915image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G232
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:14:13.576108image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:13.664609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G233
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:14:13.929111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:14.001359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G234
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:14:14.197913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:14.270161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G235
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:14:14.465962image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:14.537294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G236
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:14:14.817129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:14.900036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G237
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:14:15.096729image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:15.168629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G238
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
888 
1
112 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Length

2021-09-06T19:14:15.376659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:15.453043image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring characters

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

G239
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:14:15.727607image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:15.832965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G240
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:14:16.111219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:16.207670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G241
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
882 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Length

2021-09-06T19:14:16.466096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:16.537410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

G242
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
880 
1
120 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Length

2021-09-06T19:14:16.788562image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:16.877843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Most occurring characters

ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0880
88.0%
1120
 
12.0%

G243
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
888 
1
112 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Length

2021-09-06T19:14:17.062476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:17.129305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring characters

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

G244
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
915 
1
 
85

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Length

2021-09-06T19:14:17.288097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:17.354299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Most occurring characters

ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0915
91.5%
185
 
8.5%

G245
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:14:17.535352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:17.601838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G246
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
906 
1
94 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Length

2021-09-06T19:14:17.883969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:17.980006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring characters

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

G247
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
912 
1
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Length

2021-09-06T19:14:18.210264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:18.307520image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

G248
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:14:18.531286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:18.602820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G249
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
906 
1
94 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Length

2021-09-06T19:14:18.801243image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:18.873319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring characters

ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0906
90.6%
194
 
9.4%

G250
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
902 
1
98 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Length

2021-09-06T19:14:19.089987image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:19.179263image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring characters

ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0902
90.2%
198
 
9.8%

G251
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
896 
1
104 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Length

2021-09-06T19:14:19.424534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:19.496950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring characters

ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0896
89.6%
1104
 
10.4%

G252
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:14:19.709856image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:19.806105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G253
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:14:20.074504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:20.173364image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G254
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:14:20.387207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:20.458998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G255
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:14:20.672055image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:20.765345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G256
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:14:21.010777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:21.100391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G257
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:14:21.299439image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:21.365601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G258
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:14:21.547281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:21.613735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G259
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:14:21.851073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:21.922593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G260
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
910 
1
 
90

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Length

2021-09-06T19:14:22.093922image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:22.165233image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

G261
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
886 
1
114 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Length

2021-09-06T19:14:22.361133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:22.432333image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring characters

ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0886
88.6%
1114
 
11.4%

G262
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:14:22.627625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:22.719697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G263
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
900 
1
100 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Length

2021-09-06T19:14:22.901398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:22.967740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring characters

ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0900
90.0%
1100
 
10.0%

G264
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:14:23.149865image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:23.216418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G265
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:14:23.399623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:23.465521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G266
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:14:23.647873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:23.749548image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G267
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:14:25.743613image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:25.851420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G268
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:14:26.078807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:26.149935image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G269
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:14:26.347978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:26.419602image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G270
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:14:26.676694image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:26.766813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G271
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:14:27.012513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:27.080846image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G272
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
909 
1
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Length

2021-09-06T19:14:27.263003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:27.328780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring characters

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

G273
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
914 
1
 
86

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Length

2021-09-06T19:14:27.487820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:27.599347image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring characters

ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0914
91.4%
186
 
8.6%

G274
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
912 
1
 
88

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Length

2021-09-06T19:14:27.832313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:27.906238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring characters

ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0912
91.2%
188
 
8.8%

G275
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
905 
1
95 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Length

2021-09-06T19:14:28.101740image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:28.173094image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring characters

ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0905
90.5%
195
 
9.5%

G276
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
899 
1
101 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Length

2021-09-06T19:14:28.370030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:28.442100image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring characters

ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0899
89.9%
1101
 
10.1%

G277
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
894 
1
106 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Length

2021-09-06T19:14:28.703201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:28.792774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring characters

ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0894
89.4%
1106
 
10.6%

G278
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
892 
1
108 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Length

2021-09-06T19:14:28.980149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:29.046890image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring characters

ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0892
89.2%
1108
 
10.8%

G279
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:14:29.231558image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:29.301515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G280
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:14:29.493075image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:29.593455image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

G281
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
910 
1
 
90

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Length

2021-09-06T19:14:29.764645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:29.835945image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

G282
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:14:30.031824image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:30.103547image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G283
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:14:30.307261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:30.383319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G284
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:14:30.615239image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:30.706921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G285
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
897 
1
103 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Length

2021-09-06T19:14:30.922713image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:30.992778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring characters

ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0897
89.7%
1103
 
10.3%

G286
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
907 
1
93 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Length

2021-09-06T19:14:31.191019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:31.262877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring characters

ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0907
90.7%
193
 
9.3%

G287
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
909 
1
91 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Length

2021-09-06T19:14:31.467878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:31.548875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring characters

ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0909
90.9%
191
 
9.1%

G288
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
904 
1
96 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Length

2021-09-06T19:14:31.731314image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:31.797475image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring characters

ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0904
90.4%
196
 
9.6%

G289
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
882 
1
118 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Length

2021-09-06T19:14:31.987044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:32.056688image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0882
88.2%
1118
 
11.8%

G290
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
891 
1
109 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Length

2021-09-06T19:14:32.247907image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:32.317609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring characters

ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0891
89.1%
1109
 
10.9%

G291
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
888 
1
112 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Length

2021-09-06T19:14:32.508671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:32.612541image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring characters

ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0888
88.8%
1112
 
11.2%

G292
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
911 
1
 
89

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Length

2021-09-06T19:14:32.783722image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:32.855664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring characters

ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0911
91.1%
189
 
8.9%

G293
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
898 
1
102 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Length

2021-09-06T19:14:33.051216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:33.122908image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring characters

ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0898
89.8%
1102
 
10.2%

G294
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
895 
1
105 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Length

2021-09-06T19:14:33.320211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:33.391272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring characters

ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0895
89.5%
1105
 
10.5%

G295
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
876 
1
124 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Length

2021-09-06T19:14:33.628893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:33.716631image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Most occurring characters

ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0876
87.6%
1124
 
12.4%

G296
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
893 
1
107 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Length

2021-09-06T19:14:33.897305image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:33.963695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring characters

ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0893
89.3%
1107
 
10.7%

G297
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
890 
1
110 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Length

2021-09-06T19:14:34.146091image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:34.212850image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring characters

ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0890
89.0%
1110
 
11.0%

G298
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
910 
1
 
90

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Length

2021-09-06T19:14:34.371766image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:34.447388image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring characters

ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0910
91.0%
190
 
9.0%

G299
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
901 
1
99 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Length

2021-09-06T19:14:34.734869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:34.831450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring characters

ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0901
90.1%
199
 
9.9%

G300
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0
903 
1
97 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Length

2021-09-06T19:14:35.096072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-09-06T19:14:35.192378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring characters

ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1000
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
Common1000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0903
90.3%
197
 
9.7%

Interactions

2021-09-06T19:12:30.219775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:30.407394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:30.582257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:30.755019image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:30.885257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:31.012944image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:31.143417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:31.271574image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:31.398983image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:31.538117image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:31.668198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:31.793883image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:31.921741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:32.048297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:32.174805image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:32.304211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:32.430506image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:32.610402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:32.737618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:32.864378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:32.998653image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:33.176344image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:33.331196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:33.501515image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:33.712961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:33.886213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:34.063778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:34.237294image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:34.658283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:34.844014image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:35.039447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:35.167257image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:35.297141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:35.422245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:35.553543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:35.722216image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:35.868357image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:36.002892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:36.155099image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:36.346827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:36.526413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:36.722378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:36.860029image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:36.989605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:37.130385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:37.325606image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:37.498821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:37.689891image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:37.842052image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:38.019400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:38.197407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:38.372767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:38.535967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:38.688300image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:38.843119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:38.999131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:39.155978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:39.286488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:39.417161image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:39.549872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:39.714561image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:39.861000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:40.028081image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:40.177032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:40.307084image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:40.440443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:40.568121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:41.126228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:41.245491image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:41.361789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:41.481133image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:41.597153image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:41.714500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:41.830062image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:41.946027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.061718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.179991image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.294393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.410618image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.526421image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.643512image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.762036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.878854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:42.998875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:43.116711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:43.234660image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:43.353419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:43.472696image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:43.588500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:43.707262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:43.824255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:43.943323image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:44.064246image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:44.208561image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:44.397707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:44.568887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:44.762095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:44.894880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:45.078072image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:45.247682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:45.423725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:45.600573image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:45.785645image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:45.916664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.037080image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.159148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.278434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.401481image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.520500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.643223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.761906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.874684image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:46.989723image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:47.104765image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:47.224028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:47.794394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:47.956928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:48.072332image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:48.187151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:48.301031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-09-06T19:12:48.417104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2021-09-06T19:14:35.287892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-09-06T19:14:35.464462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-09-06T19:14:35.670642image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-09-06T19:14:36.535728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-09-06T19:14:42.112674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-09-06T19:12:50.678373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

Var1Var2Var3Var4Var5Var6Var7Var8Var9Var10timeeventTreatmentG1G2G3G4G5G6G7G8G9G10G11G12G13G14G15G16G17G18G19G20G21G22G23G24G25G26G27G28G29G30G31G32G33G34G35G36G37G38G39G40G41G42G43G44G45G46G47G48G49G50G51G52G53G54G55G56G57G58G59G60G61G62G63G64G65G66G67G68G69G70G71G72G73G74G75G76G77G78G79G80G81G82G83G84G85G86G87G88G89G90G91G92G93G94G95G96G97G98G99G100G101G102G103G104G105G106G107G108G109G110G111G112G113G114G115G116G117G118G119G120G121G122G123G124G125G126G127G128G129G130G131G132G133G134G135G136G137G138G139G140G141G142G143G144G145G146G147G148G149G150G151G152G153G154G155G156G157G158G159G160G161G162G163G164G165G166G167G168G169G170G171G172G173G174G175G176G177G178G179G180G181G182G183G184G185G186G187G188G189G190G191G192G193G194G195G196G197G198G199G200G201G202G203G204G205G206G207G208G209G210G211G212G213G214G215G216G217G218G219G220G221G222G223G224G225G226G227G228G229G230G231G232G233G234G235G236G237G238G239G240G241G242G243G244G245G246G247G248G249G250G251G252G253G254G255G256G257G258G259G260G261G262G263G264G265G266G267G268G269G270G271G272G273G274G275G276G277G278G279G280G281G282G283G284G285G286G287G288G289G290G291G292G293G294G295G296G297G298G299G300
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Last rows

Var1Var2Var3Var4Var5Var6Var7Var8Var9Var10timeeventTreatmentG1G2G3G4G5G6G7G8G9G10G11G12G13G14G15G16G17G18G19G20G21G22G23G24G25G26G27G28G29G30G31G32G33G34G35G36G37G38G39G40G41G42G43G44G45G46G47G48G49G50G51G52G53G54G55G56G57G58G59G60G61G62G63G64G65G66G67G68G69G70G71G72G73G74G75G76G77G78G79G80G81G82G83G84G85G86G87G88G89G90G91G92G93G94G95G96G97G98G99G100G101G102G103G104G105G106G107G108G109G110G111G112G113G114G115G116G117G118G119G120G121G122G123G124G125G126G127G128G129G130G131G132G133G134G135G136G137G138G139G140G141G142G143G144G145G146G147G148G149G150G151G152G153G154G155G156G157G158G159G160G161G162G163G164G165G166G167G168G169G170G171G172G173G174G175G176G177G178G179G180G181G182G183G184G185G186G187G188G189G190G191G192G193G194G195G196G197G198G199G200G201G202G203G204G205G206G207G208G209G210G211G212G213G214G215G216G217G218G219G220G221G222G223G224G225G226G227G228G229G230G231G232G233G234G235G236G237G238G239G240G241G242G243G244G245G246G247G248G249G250G251G252G253G254G255G256G257G258G259G260G261G262G263G264G265G266G267G268G269G270G271G272G273G274G275G276G277G278G279G280G281G282G283G284G285G286G287G288G289G290G291G292G293G294G295G296G297G298G299G300
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